brain-bzh Goto Github PK
Name: BRAIn - Better Representations for Artificial Intelligence
Type: Organization
Name: BRAIn - Better Representations for Artificial Intelligence
Type: Organization
SOTA routine for training CIFAR-10/CIFAR-100/ImageNet on standard ResNets
pyTorch implementation of binarization in deep learning
Implementation of BinaryConnect on Pytorch
Routines to train standard datasets, used in BRAIn
Fieldtrip preprocessing scripts for the braingraph data
Scripts for analyzing the EEG data of the brain songs project
Experiments and demo on the CLAP model
clean routines to train standard datasets
CLIP zero-shot demo
IMT Atlantique - BRAIn submission for DCASE 2020 Challenge task 1, subtask B
A demonstration of few shot classification with DINOv2
This repository is the official implementation Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients.
EASY v2
Companion website for EcoHacK-2022
Material for course "Efficient Deep Learning" at IMT Atlantique
Course material for ELU616 - Introduction to Artificial Intelligence
Neuropycon package of functions for electrophysiology analysis, can be used from graphpype and nipype
Speedy Wavenet generation using dynamic programming :zap:
Repository for our Interspeech2020 general-purpose voice activity detection (GPVAD) paper
Scikit learn wrappers for GSP applied to fMRI
Code to allow reproducing experiments for submission
Repository for the course "Analysis of medical signals" under the specialisation healthcare Engineering at IMT Atlantique
Results shown on the IARIA 2017 paper "An Intrinsic Difference Between Vanilla RNNs And GRU Models"
Resources for Intersemester One-week course on NeuroImaging at IMT Atlantique
Materials for course "Introduction to Artificial Intelligence" at IMT Atlantique
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Data-Driven Documents codes.
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